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Joel Hindorff

dblp:75/633 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computational photography and imaging · 77% Rendering · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational photography and imaging › physics-based vision › light transport analysis
environment matting
0.012000
Environment matting extensions: towards higher accuracy and real-time capture · SIGGRAPH 2000
Rendering
light transport
0.012000
Environment matting extensions: towards higher accuracy and real-time capture · SIGGRAPH 2000

Methods — techniques the papers use, named apart from their topics

structured light · 0.0
YearPublicationVenuePosition
2000 Environment matting extensions: towards higher accuracy and real-time capture
abstract
Environment matting is a generalization of traditional bluescreen matting. By photographing an object in front of a sequence of structured light backdrops, a set of approximate light-transport paths through the object can be computed. The original environment matting research chose a middle ground—using a moderate number of photographs to produce results that were reasonably accurate for many objects. In this work, we extend the technique in two opposite directions: recovering a more accurate model at the expense of using additional structured light backdrops, and obtaining a simplified matte using just a single backdrop. The first extension allows for the capture of complex and subtle interactions of light with objects, while the second allows for video capture of colorless objects in motion.
Yung-Yu Chuang, Douglas E. Zongker, Joel Hindorff, Brian Curless, David Salesin, Richard Szeliski
SIGGRAPH3